Award Information
Agency: Department of Defense
Branch: Missile Defense Agency
Contract: HQ0006-09-C-7163
Agency Tracking Number: B083-039-0405
Amount: $99,999.00
Phase: Phase I
Program: SBIR
Awards Year: 2009
Solitcitation Year: 2008
Solitcitation Topic Code: MDA08-039
Solitcitation Number: 2008.3
Small Business Information
1235 South Clark Street, Suite 400, Arlington, VA, 22202
Duns: 036593457
Hubzone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 David Fiske
 Senior Engineer
 (703) 414-5036
Business Contact
 Kelly McClelland
Title: Director, Corporate Business Office
Phone: (703) 414-5024
Email: kelly.mcclelland@dac.us
Research Institution
The performance of the Ballistic Missile Defense System depends on a number of factors; one of the most important is the ability to accurately and efficiently discriminate between threats (reentry vehicles) and non-threats (decoys). The DECISIVE ANALYTICS Corporation (DAC) team proposes to develop a discrimination system based on a novel machine learning algorithm called Maximum Variance Unfolding (MVU). The MVU algorithm combines the attributes of data compression and feature extraction, effectively learns nonlinear transformations such as changes in object morphology and dynamic object motion, and can be cast in the form of a semi-definite program which guarantees an optimal solution to the problem. We will illustrate the proficiency of our approach by learning high fidelity, high resolution radar signatures of a dynamic target model and testing the discrimination system on scenarios that confound the current Discrimination Fusion Engine (DFE). Phase II of this project will focus on integrating our discrimination system with our novel dynamic, hybrid Bayesian network model for combining tracking and discrimination.

* information listed above is at the time of submission.

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